| Surf: Practical range query filtering with fast succinct tries H Zhang, H Lim, V Leis, DG Andersen, M Kaminsky, K Keeton, A Pavlo Proceedings of the 2018 International Conference on Management of Data, 323-336, 2018 | 178 | 2018 |
| Reducing the storage overhead of main-memory OLTP databases with hybrid indexes H Zhang, DG Andersen, A Pavlo, M Kaminsky, L Ma, R Shen Proceedings of the 2016 International Conference on Management of Data, 1567 …, 2016 | 171 | 2016 |
| Building a bw-tree takes more than just buzz words Z Wang, A Pavlo, H Lim, V Leis, H Zhang, M Kaminsky, DG Andersen Proceedings of the 2018 International Conference on Management of Data, 473-488, 2018 | 146 | 2018 |
| Order-preserving key compression for in-memory search trees H Zhang, X Liu, DG Andersen, M Kaminsky, K Keeton, A Pavlo Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 31 | 2020 |
| An empirical evaluation of columnar storage formats X Zeng, Y Hui, J Shen, A Pavlo, W McKinney, H Zhang arXiv preprint arXiv:2304.05028, 2023 | 22 | 2023 |
| Proteus: A self-designing range filter ER Knorr, B Lemaire, A Lim, S Luo, H Zhang, S Idreos, M Mitzenmacher Proceedings of the 2022 International Conference on Management of Data, 1670 …, 2022 | 21 | 2022 |
| Compressgraph: Efficient parallel graph analytics with rule-based compression Z Chen, F Zhang, JW Guan, J Zhai, X Shen, H Zhang, W Shu, X Du Proceedings of the ACM on Management of Data 1 (1), 1-31, 2023 | 19 | 2023 |
| Succinct range filters H Zhang, H Lim, V Leis, DG Andersen, M Kaminsky, K Keeton, A Pavlo ACM Transactions on Database Systems (TODS) 45 (2), 1-31, 2020 | 19 | 2020 |
| Rencoder: A space-time efficient range filter with local encoder Z Wang, Z Zhong, J Guo, Y Wu, H Li, T Yang, Y Tu, H Zhang, B Cui 2023 IEEE 39th International Conference on Data Engineering (ICDE), 2036-2049, 2023 | 15 | 2023 |
| Adaptive hybrid indexes C Anneser, A Kipf, H Zhang, T Neumann, A Kemper Proceedings of the 2022 International Conference on Management of Data, 1626 …, 2022 | 15 | 2022 |
| SALI: A Scalable Adaptive Learned Index Framework based on Probability Models J Ge, H Zhang, B Shi, Y Luo, Y Guo, Y Chai, Y Chen, A Pan Proceedings of the ACM on Management of Data 1 (4), 1-25, 2023 | 12 | 2023 |
| Blink-hash: An Adaptive Hybrid Index for In-Memory Time-Series Databases H Cha, X Hao, T Wang, H Zhang, A Akella, X Yu Proceedings of the VLDB Endowment 16 (6), 1235-1248, 2023 | 12 | 2023 |
| Everything is a transaction: Unifying logical concurrency control and physical data structure maintenance in database management systems L Zhang, M Butrovich, T Li, A Pavlo, Y Nannapaneni, J Rollinson, ... CIDR, 2021 | 12 | 2021 |
| Changing concurrency control modes H Zhang, K Keeton US Patent App. 15/585,153, 2018 | 12 | 2018 |
| Dear User-Defined Functions, Inlining isn't working out so great for us. Let's try batching to make our relationship work. Sincerely, SQL. K Franz, S Arch, D Hirn, T Grust, TC Mowry, A Pavlo CIDR, 2024 | 7 | 2024 |
| GRF: A Global Range Filter for LSM-Trees with Shape Encoding H Wang, T Guo, J Yang, H Zhang Proceedings of the ACM on Management of Data 2 (3), 1-27, 2024 | 6 | 2024 |
| Making In-Memory Learned Indexes Efficient on Disk J Zhang, K Su, H Zhang Proceedings of the ACM on Management of Data 2 (3), 1-26, 2024 | 6 | 2024 |
| Efficient Query Re-optimization with Judicious Subquery Selections J Zhao, H Zhang, Y Gao Proceedings of the ACM on Management of Data 1 (2), 1-26, 2023 | 6 | 2023 |
| Cost-Intelligent Data Analytics in the Cloud H Zhang, Y Liu, J Yan arXiv preprint arXiv:2308.09569, 2023 | 5 | 2023 |
| Srl: Scaling distributed reinforcement learning to over ten thousand cores Z Mei, W Fu, J Gao, G Wang, H Zhang, Y Wu arXiv preprint arXiv:2306.16688, 2023 | 5 | 2023 |
Andy PavloCarnegie Mellon Universityبريد إلكتروني تم التحقق منه على cs.cmu.edu
